ThoughtSpot
 
 

ON-DEMAND WEBINAR

How to mitigate hallucination &
bias in AI

 
 
 
 

See what it takes to make AI accurate and trustworthy

Gartner® estimates that by 2027, 75% of new analytics content will be contextualized for intelligence applications through generative AI. So why is trust still such a hurdle for enterprise AI adoption?

Hallucinations, biased outputs, and gaps in training data can still be major blockers, especially for high-value use cases where the stakes are high.

Join industry experts from Snowflake and ThoughtSpot for a practical look at how to build enterprise AI that's accurate, explainable, and ready for real-world use.

 

You’ll learn:

  • Why hallucinations happen and how to prevent them

  • Why human-in-the-loop design is critical to building trust

  • Where your peers are seeing real wins—and what to avoid

  • How AI literacy fuels adoption and a modern data culture

  • How diverse, well-governed data improves AI output

  • The role of RAG architecture in improving accuracy

This is more than a crash course on preventing AI bias—it’s how you go from just testing AI to scaling it with confidence.

ON-DEMAND WEBINAR

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Speakers

 

Jennifer Belissent

Principal Data Strategist

 

Cindi Howson

Chief Data & AI Strategy Officer

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